Question Help Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. Full data set Car 1 235 235 208 208 239 239 216 216 208 208 297 297 285 285 159 159 298 298 251 251 164 164 307 307 283 283 305 305 263 263 Car 2 215 215 205 205 232 232 221 221 246 246 248 248 241 241 272 272 243 243 298 298 280 280 246 246 259 259 294 294 261 261 Describe each data set, that is determine the shape, center, and spread. Sample mean for Car 1 x overbar equals x= nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample mean for Car 2 x overbar equals x= nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Median for Car 1 M equals = nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Median for Car 2 M equals = nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 1 R equals = nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 2 R equals = nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation for Car 1 s equals = nothing mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation for Car 2
sequals=nothing
mi / 10 gal
(Type an integer or decimal rounded to one decimal place as needed.)
Which car would the customer buy and why?
A.
Car
22,
because it has a lower mean gas mileage.
B.
Car
11,
because it has a larger range of gas mileage.
C.
Car
22,
because it has a lower sample standard deviation, hence more predictable gas mileage.
D.
There is very little difference between the two cars.
(a)
Sample mean of Car 1 (1)
is got as follows:
mi / 10 gal
(b)
Sample mean of Car 2 (2)
is got as follows:
mi / 10 gal
(c)
Median of Car 1 (1)
is got as follows:
Arranging numbers in ascending order, we get:
159,164,208,208,216,235,239,251,263,283,285,297,298,305,307
n = 15
Median = (15+1)/2th item = 8th item = 251
So,
Median of Car 1 (1)
= 251 mi / 10 gal
(d)
Median of Car 2 (2)
is got as follows:
Arranging numbers in ascending order, we get:
180,205,215,221,232,241,243,246,246,248,259,261,272,294,298
n = 15
Median = (15+1)/2th item = 8th item = 246
So,
Median of Car 2 (2)
= 246 mi / 10 gal
(e)
Range for Car 1 = Maximum - Minimum = 307 - 159 = 148 mi / 10 gal
(f)
Range for Car 2 = Maximum - Minimum = 298 - 180 = 118 mi / 10 gal
(g)
x | (x - ![]() |
(x - ![]() |
235 | -12.8667 | 165.5511 |
208 | -39.8667 | 1589.3511 |
239 | -8.8667 | 78.6178 |
216 | -31.8667 | 1015.4844 |
208 | -39.8667 | 1589.3511 |
297 | 49.1333 | 2414.0844 |
285 | 37.1333 | 1378.8844 |
159 | 88.8667 | 7897.2844 |
298 | 50.1333 | 2513.3511 |
251 | 3.1333 | 9.8178 |
164 | - 83.8667 | 7033.6178 |
307 | 59.1333 | 3496.7511 |
283 | 35.1333 | 1234.3511 |
305 | 57.1333 | 3264.2178 |
263 | 15.1333 | 229.0178 |
Total = | 33909.7333 |
Sample standard deviation for Car 1 =s1 is given by:
s1 =
mi / 10 gal
(h)
x | (x - ![]() |
(x - ![]() |
215 | - 29.0667 | 844.8711 |
205 | -39.0667 | 1526.2044 |
232 | -12.0667 | 145.6044 |
221 | -23.0667 | 532.0711 |
246 | 1.9333 | 3.7378 |
248 | 3.9333 | 15.4711 |
241 | -3.0667 | 9.4044 |
272 | 27.9333 | 780.2711 |
243 | -1.0667 | 1.1378 |
298 | 53.9333 | 2908.8044 |
180 | -64.0667 | 4104.5378 |
246 | 1.9333 | 3.7378 |
259 | 14.9333 | 223.0044 |
294 | 49.9333 | 2493.3378 |
261 | 16.9333 | 286.7378 |
Total = | 13878.9333 |
Sample standard deviation for Car 2 =s2 is given by:
s2 =
mi / 10 gal
(i)
Correct option:
C.
Car 2 because it has a lower sample standard deviation, hence more predictable gas mileage.
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